scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Univariate feature selection methods should allow passing kwargs to score_func callable
- OPTICS Benchmark and improve the performance
- [MRG] Conditional GMM sampling
- Issues with negative values in sample_weight
- Feature Request: Optimal Cut-offs for F1 score, accuracy for multi-class
- Add built-in dataset with missing values and categorical data?
- Estimators with metric='euclidean' default but supporting metric_params and p should instead have metric='minkowski'
- Sklearn.svm.SVC,the "predict" method predict all samples to same one label, which is wrong.
- Target column names in datasets provided by Sklearn
- Function to get scorers for task
- Docs
- Python not yet supported